ml.combust.mleap.core.feature

OneHotEncoderModel

case class OneHotEncoderModel(size: Int, dropLast: Boolean = true) extends Model with Product with Serializable

Class for a one hot encoder model.

One hot encoders are used to vectorize nominal features in preparation for models such as linear regression or logistic regression where binary and not multinomial features are supported in the feature vector.

size

size of the output one hot vectors

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  1. OneHotEncoderModel
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Instance Constructors

  1. new OneHotEncoderModel(size: Int, dropLast: Boolean = true)

    size

    size of the output one hot vectors

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  5. final def ==(arg0: Any): Boolean

    Definition Classes
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  6. def apply(label: Double): Vector

    Turn a labeled feature into a one hot vector.

    Turn a labeled feature into a one hot vector.

    label

    label to convert to a vector

    returns

    one hot vector representation of label

  7. final def asInstanceOf[T0]: T0

    Definition Classes
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  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
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    Annotations
    @throws( ... )

  9. val dropLast: Boolean

  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  11. def finalize(): Unit

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    protected[java.lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] )

  12. final def getClass(): Class[_]

    Definition Classes
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  13. def inputSchema: StructType

    Definition Classes
    OneHotEncoderModel → Model

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  15. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  18. def outputSchema: StructType

    Definition Classes
    OneHotEncoderModel → Model

  19. val size: Int

    size of the output one hot vectors

  20. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef

  21. final def wait(): Unit

    Definition Classes
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    @throws( ... )

  22. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )

  23. final def wait(arg0: Long): Unit

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Inherited from Product

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Inherited from Model

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